byRanda, James; Lahtinen, Janne; Camps, Adriano; Gasiewski, A. J.; Hallikainen, Martti; Le Vine, David M.; Martin-Neira, Manuel; Piepmeier, Jeff; Rosenkranz, Philip W.; Ruf, Christopher S.; Shiue, James; Skou, Niels.
byParkinson, Claire L.; Rind, David; Healy, Richard J.; Martinson, Douglas G
The Goddard Institute for Space Studies global climate model (GISS GCM) is used to examine the sensitivity of the simulated climate to sea ice concentration specifications in the type of simulation done in the Atmospheric Modeling Intercomparison Project (AMIP), with specified oceanic boundary conditions. Results show that sea ice concentration uncertainties of /- 7% can affect simulated regional temperatures by more than 6 C, and biases in sea ice concentrations of 7% and -7% alter simulated... Topics: EDUCATION, REMOTE SENSING, REPORTS
byMuhammad Kamran Taj, Wei Yunlin, Zohra Samreen, Imran Taj, Taj Muhammad Hassani & Ji Xiu Ling
The chemical signal molecules called autoinducers are produced and released by the quorum sensing bacteria to levels dominating the increasing cell-population density. The attainment of minimal threshold stimulatory concentration of an autoinducer leads to an alteration in gene expression. Both Gram-positive and Gram-negative bacteria are capable of using quorum sensing communication circuits for regulating a diverse array of physiological activities. These activities include symbiosis,... Topics: Quorum, Sensing, Signals, Different, Systems
This paper presents the application of Compressive Sensing (CS) theory in radar signal processing. CS uses the sparsity property to reduce the number of measurements needed for digital acquisition, which causes reduction in the size, weight, power consumption, and the cost of the CS radar receiver. Complex Approximate Message Passing (CAMP) algorithm is a fast iterative thresholding algorithm which is used to reconstruct the undersampled sparse radar signal, and to improve the Signal-to-Noise... Topics: Compressive Sensing, CAMP algorithm, Radar.
NASA Connect Segment that explores how aerosols affect our health and how aerosols in the atmosphere are measured. It explains remote sensing and its two types with examples. Topics: NASA Connect, Aerosol, Remote Sensing, Active Remote Sensing, Passive Remote Sensing Source: http://nasa.ibiblio.org/details.php?videoid=6116&start=40&subject=Mathematics
Summit Envirosolutions of Minneapolis, Minnesota, used remote sensing images as a source for groundwater resource management. Summit is a full-service environmental consulting service specializing in hydrogeologic, environmental management, engineering and remediation services. CRSP collected, processed and analyzed multispectral/thermal imagery and aerial photography to compare remote sensing and Geographic Information System approaches to more traditional methods of environmental impact... Topic: Commercial Remote Sensing, resource management, CRSP, applied Source: http://www.ssc.nasa.gov/sirs/
The concept of gesture recognition has come into major attention with the launch of Microsoft’s Kinect in 2010. The new and enhanced user experience offered by various technologies has gathered interest from a number of OEMs across many applications. This has resulted in the launch of products ranging from smart TVs to Smartphone’s that integrate with gesture recognition technologies.The report’s detailed segmentation by technology, by applications, and by geography covers all the... Topics: Gesture Recognition Market, Touchless Sensing Market
Recently, compressed sensing (CS) has been considered as a tool to surpass the traditional limits of Nyquists’ sampling Theory. The CS theory suggests that sparse signals and images can be reconstructed from fewer samples which are obtained at the rate far below the Nyquist rate. Also this will help to underlie procedures for sampling and compressing data simultaneously. Like many other fields, CS also found successful applications in Multi-sensor communications networks. CS is having... Topics: Compressive Sensing, Incoherence, Sensor Networks, Sparsity, etc.
byChris Seminack, Jesse Thornburg, and Steve Peterson
In Episode 4 we talk about remote sensing, Galileo, ghost sounds, volcanoes & global warming, Heathcliff, and more life lessons from the Flannelcasters. Topics: Podcast, Geology, Science, Volcanoes, remote sensing
As remote sensing images can be used to identify features and interpret ground conditions, they have been widely used in many fields from environment resources investigation to military operation. However, most of the remote sensing images have little visual contrast and poor resolution. Thus, the remote sensing image enhancement technique is almost always applied before the remote sensing images are analyzed. Numerous image enhancement techniques are available. In this study, a novel image... Topics: Remote sensing image, Image enhancement, MSR
NASA Connect Segment explains how scientist use LIDAR to help them measure aerosols in the atmosphere. It also describes active remote sensing. Topics: NASA Connect, Aerosol, Remote Sensing, LIDAR, Atmosphere Source: http://nasa.ibiblio.org/details.php?videoid=6115&start=40&subject=Mathematics
byUnited States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Science, Technology, and Space
Book digitized by Google and uploaded to the Internet Archive by user tpb. Topics: Landsat satellites, Artificial satellites in remote sensing Source: http://books.google.com/books?id=rcac_7Bqn6UC&oe=UTF-8
Municipal solid waste generation is among the most significant sources which threaten the global environmental health. Site selection is an important and necessary issue for waste management in fast-growing countries like India.Because of the complexity of waste management systems, the selection of the appropriate solid waste landfill site requires consideration of multiple alternative solutions. Remote sensing data have been used to present conditions of the land use/land cover and... Topics: Solid Waste, Landfills, GIS and Remote Sensing
By combining the compressed sensing theory and the digitalwatermark technology, a digital watermarking methodbased on the theory of compressed sensing is proposed inthis paper. The method is divided into three steps:compressed sensing compression process, compressedsensing recovery process and compressed sensing extraction.The watermarket is embedded through the embeddedmechanism between the compressed sensing compressionprocess and the compressed sensing recovery process. Theexperiments show... Topics: Digital Image Watermarking, Compressed Sensing, Sparse Transformation
This handbook is intended to be a resource for people affected by landslides to acquire further knowledge, especially about the conditions that are unique to their neighborhoods and communities. Considerable literature and research are available concerning landslides, but unfortunately little of it is synthesized and integrated to address the geographically unique geologic and climatic conditions around the globe. Landslides occur throughout the world, under all climatic conditions and... Topics: Landslide, Natural Hazards, Causes, Mitigation, Remote Sensing
Remote sensors are mounted onboard the NASA/Stennis Space Center Learjet and flown over many different study areas to collect digital imagery for use in a wide variety of projects. Topic: Learjet, commercial remote sensing, CRSP, applied Source: http://www.ssc.nasa.gov/sirs/
Water bodies are precious resources which play an important role in agriculture, transportation, drinking water supply and environmental balance of ground water level and so on. Assessment on water-bodies as well as escribing on its characteristics is the most crucial work to be done in India where land is being occupied at a very high rate. Satellite images are not clear all the time and will have shadow effects, which has to identified and distinguished. Water body image may appear... Topics: Multi-resolution Satellite Image, Remote Sensing
Map from F. Blasco, M.F. Bellan, M. Aizpuru (1996) A vegetation map of tropical continental Asia at scale 1:5 million. Journal of Vegetation Science 7(5):623–634. DOI: 10.2307/3236374 Topics: Asia, forest, vegetation, remote sensing, map